Signal Processing Diagnostic Tool for Rolling Element Bearings Using EMD and MED
Chatterton, Steven, Ricci, Roberto, Pennacchi, Paolo, & Borghesani, Pietro (2014) Signal Processing Diagnostic Tool for Rolling Element Bearings Using EMD and MED. In Dalpiaz, Giorgio, Rubini, Riccardo, D'Elia, Gianluca, Cocconcelli, Marco, Chaari, Fakher, Zimroz, Radoslaw, et al. (Eds.) Advances in Condition Monitoring of Machinery in Non-Stationary Operations. Springer Berlin Heidelberg, pp. 379-388.
The signal processing techniques developed for the diagnostics of mechanical components operating in stationary conditions are often not applicable or are affected by a loss of effectiveness when applied to signals measured in transient conditions. In this chapter, an original signal processing tool is developed exploiting some data-adaptive techniques such as Empirical Mode Decomposition, Minimum Entropy Deconvolution and the analytical approach of the Hilbert transform. The tool has been developed to detect localized faults on bearings of traction systems of high speed trains and it is more effective to detect a fault in non-stationary conditions than signal processing tools based on envelope analysis or spectral kurtosis, which represent until now the landmark for bearings diagnostics.
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|Item Type:||Book Chapter|
|Additional Information:||Lecture Notes in Mechanical Engineering : Proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013|
|Keywords:||Minimum entropy deconvolution, Empirical mode decomposition, Rolling element bearings, condition monitoring|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Dynamics Vibration and Vibration Control (091304)
|Divisions:||Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||21 Jan 2014 22:49|
|Last Modified:||24 Oct 2015 16:44|
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